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Building a Data-Driven World 1 Gates COVID-19 Tracker, Week 6 - Texas This document includes toplines for 760 responses to the Gates COVID-19 Tracker fielded May 22-26, 2020 in the state of Texas. The toplines report on the percentage of survey-takers who selected each response, weighted to Texas’s general population (adults aged 18+) in Civis’ consumer file. National toplines from this week are also provided for each question response for comparison. Each question is labeled by its question tag (which was included in the Questionnaire document in brackets) and the question text. Some questions were only shown to a subset of respondents; the number of responses to each question is indicated by “N = “ in the label. A description of the subset who were shown the question is also included below the question text, indicated by “Displayed if:“ or “Shown to.” For some questions in the disease tracking section, we’ve provided two versions of the percentage of survey-takers for questions with display logic. On the left, “US (asked)” or “TX (asked)” represent the percentage of respondents who were asked the question; on the right, “US (all resp)” or “TX (all resp)” represent the percentage of all respondents, with an additional entry for “(Not asked).”

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Page 1: COVID Tracker - Week 6 Toplines Report - Texas€¦ · Title: Microsoft Word - COVID Tracker - Week 6 Toplines Report - Texas.docx Created Date: 5/29/2020 4:12:46 PM

Building a Data-Driven World 1

Gates COVID-19 Tracker, Week 6 - Texas

This document includes toplines for 760 responses to the Gates COVID-19 Tracker fielded May

22-26, 2020 in the state of Texas. The toplines report on the percentage of survey-takers who

selected each response, weighted to Texas’s general population (adults aged 18+) in Civis’

consumer file. National toplines from this week are also provided for each question response for

comparison.

Each question is labeled by its question tag (which was included in the Questionnaire document

in brackets) and the question text. Some questions were only shown to a subset of respondents;

the number of responses to each question is indicated by “N = “ in the label. A description of the

subset who were shown the question is also included below the question text, indicated by

“Displayed if:“ or “Shown to.”

For some questions in the disease tracking section, we’ve provided two versions of the

percentage of survey-takers for questions with display logic. On the left, “US (asked)” or “TX

(asked)” represent the percentage of respondents who were asked the question; on the right, “US

(all resp)” or “TX (all resp)” represent the percentage of all respondents, with an additional entry

for “(Not asked).”

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Building a Data-Driven World 2

Texas Toplines

Health Status: N = 760 How would you describe your current health status?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Health Status US TX

Excellent 20.0% 21.1%

Very Good 33.0% 31.9%

Good 31.0% 31.7%

Fair 13.5% 12.1%

Poor 2.5% 3.1%

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Building a Data-Driven World 3

Has Insurance: N = 760 Do you currently have health insurance?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Has Insurance US TX

Yes 82.8% 75.9%

No 13.5% 20.1%

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Building a Data-Driven World 4

Coronavirus Risk Symptoms2 Month2: N = 760 In the last month (30 days), have you experienced any of the following symptoms? Please

select all that apply.

US Margin of Error = 1.3%, TX Margin of Error = 5%

Description US TX

Cough 12.1% 9.3%

Shortness of breath or

difficulty breathing 7.5% 6.1%

Fever 5.2% 5.8%

Chills 5.0% 5.4%

Muscle pain 16.8% 16.1%

Headache 24.5% 20.0%

Sore throat 8.4% 7.7%

New loss of taste or smell 2.9% 2.3%

None of the above 57.1% 62.2%

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Building a Data-Driven World 5

Coronavirus Risk Symptoms2 Week2: N = 320 In the last week (7 days), have you experienced any of the following symptoms? Please

select all that apply.

US Margin of Error = 1.9%, TX Margin of Error = 7.7%

Displayed if: [Coronavirus Risk Symptoms2 Month2] == Yes

Description US TX

Cough 20.5% 18.1%

Shortness of breath or

difficulty breathing 13.5% 14.6%

Fever 8.4% 11.4%

Chills 8.8% 10.3%

Muscle pain 29.6% 33.9%

Headache 41.2% 38.2%

Sore throat 12.0% 11.7%

New loss of taste or smell 5.5% 7.2%

None of the above 19.9% 17.5%

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Building a Data-Driven World 6

Coronavirus Risk Think Infected: N = 760 Do you think you’ve been infected with the Coronavirus (COVID-19)?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Risk Think Infected US TX

Yes 6.2% 3.6%

No 84.1% 87.8%

Unsure 9.6% 8.7%

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Building a Data-Driven World 7

Coronavirus Risk Hospitalization Suspected: N = 760 In the last month (30 days), have you seen a healthcare provider or have you gone to a

hospital because you suspected you had Coronavirus (COVID-19)?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Risk Hospitalization Suspected US TX

Yes 9.1% 8.4%

No 89.2% 90.3%

I don't know 1.7% 1.3%

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Building a Data-Driven World 8

Coronavirus Risk Where Medical: N = 70 Where did you first seek medical care for Coronavirus (COVID-19)?

US Margin of Error = 4.3%, TX Margin of Error = 16.5%

Displayed if: [Coronavirus Risk Hospitalization Suspected] == Yes

Coronavirus Risk Where Medical US (Asked) TX (Asked) US (All Resp) TX (All Resp)

Hospital or emergency room 23.2% 26.5% 2.1% 2.2%

Urgent care 14.7% 10.1% 1.3% 0.9%

My primary care doctor or another doctor 37.5% 44.3% 3.4% 3.7%

A local health department 20.7% 15.0% 1.9% 1.3%

Other: 3.9% 4.0% 0.4% 0.3%

Not answered NA% NA% 90.9% 91.6%

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Building a Data-Driven World 9

Coronavirus Risk Tested: N = 760 In the last month (30 days) have you been tested for Coronavirus (COVID-19)?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Risk Tested US TX

Yes 11.4% 11.8%

No 86.6% 85.8%

I don't know 2.0% 2.4%

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Building a Data-Driven World 10

Coronavirus Risk Tested When: N = 102 For how long did you have symptoms before you were tested for Coronavirus (COVID-

19)?

US Margin of Error = 3.8%, TX Margin of Error = 13.7%

Displayed if: [Coronavirus Risk Tested] == Yes

Coronavirus Risk Tested When US TX

I was tested the same day I started experiencing symptoms 11.7% 15.0%

2-3 days 19.3% 17.8%

4-7 days 15.9% 8.4%

8-14 days 8.5% 7.2%

14+ days 9.4% 6.1%

I had not experienced any symptoms before being tested 32.7% 42.9%

I don’t know 2.4% 2.6%

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Building a Data-Driven World 11

Coronavirus Risk Denied: N = 648 Have you been denied a test for Coronavirus (COVID-19)?

US Margin of Error = 1.4%, TX Margin of Error = 5.4%

Displayed if: [Coronavirus Risk Tested] == No

Coronavirus Risk Denied US TX

Yes 3.1% 2.9%

No 95.0% 95.2%

I don't know 1.8% 1.9%

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Building a Data-Driven World 12

Coronavirus Risk Positive: N = 102 Have you tested positive for Coronavirus (COVID-19)?

US Margin of Error = 3.8%, TX Margin of Error = 13.7%

Displayed if: [Coronavirus Risk Tested] == Yes

Coronavirus Risk Positive US (Asked) TX (Asked) US (All Resp) TX (All Resp)

Yes 26.4% 19.4% 3.0% 2.3%

No 68.9% 80.5% 7.9% 9.5%

I don't know 4.7% 0.1% 0.5% 0.0%

Not answered NA% NA% 88.6% 88.2%

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Building a Data-Driven World 13

Coronavirus Attitudes Concern Level: N = 760 How concerned are you about Coronavirus (COVID-19)?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes Concern Level US TX

Very concerned 41.7% 38.5%

Somewhat concerned 32.2% 32.4%

Slightly concerned 16.4% 16.8%

Not at all concerned 9.6% 12.3%

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Building a Data-Driven World 14

Coronavirus Attitudes Concern Family: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on your immediate

family?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes Concern Family US TX

Very concerned 46.0% 45.3%

Somewhat concerned 29.5% 25.2%

Slightly concerned 15.7% 19.6%

Not at all concerned 8.8% 9.8%

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Building a Data-Driven World 15

Coronavirus Attitudes Concern Network: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on your friends and

extended family?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes Concern Network US TX

Very concerned 43.2% 41.5%

Somewhat concerned 32.4% 31.5%

Slightly concerned 16.4% 16.2%

Not at all concerned 8.0% 10.7%

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Building a Data-Driven World 16

Coronavirus Attitudes Concern Community: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on people in your

community?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes Concern Community US TX

Very concerned 38.6% 36.2%

Somewhat concerned 35.9% 38.7%

Slightly concerned 17.5% 14.7%

Not at all concerned 8.1% 10.3%

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Building a Data-Driven World 17

Coronavirus Attitudes State Order Reaction: N = 760 Which statement best reflects your feelings about closures, restrictions, and other steps

that the state of <State Name> has taken to slow the spread of the virus?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes State Order Reaction US TX

I wish they would do even more 25.6% 29.1%

I think the steps are appropriate given the serious nature of the crisis 47.4% 46.1%

I think some of the steps are important, but overall they go too far 15.2% 14.3%

I think everyone is overreacting 7.4% 6.3%

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Building a Data-Driven World 18

Coronavirus Attitudes Intent Social Distancing: N = 760 Do you intend to stay at home and avoid all non-essential contact with others to reduce

the spread of COVID-19?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Attitudes Intent Social Distancing US TX

Definitely 52.7% 50.9%

Probably 26.1% 26.8%

Probably not 11.6% 12.6%

Definitely not 5.9% 6.5%

I don’t know 3.8% 3.2%

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Building a Data-Driven World 19

Coronavirus Preventative Actions: N = 760 Do you agree with the following statements? Even after restrictions are lifted...

US Margin of Error = 1.3%, TX Margin of Error = 5%

Strongly Agree Somewhat Agree Somewhat

Disagree

Strongly

Disagree I Don’t Know

Actions US TX US TX US TX US TX US TX

Even after restrictions are

lifted, I will continue to

practice social and physical

distancing, limiting trips to

public places like grocery

stores and parks, limiting in-

person interactions, and

staying 6 feet apart from

others.

49.8% 50.3% 33.3% 33.1% 7.5% 8.1% 4.9% 3.4% 4.5% 5.1%

Even after restrictions are

lifted, I will continue

washing my hands

frequently with soap for at

least 20 seconds and

cleaning and disinfecting

regularly-touched surfaces.

66.6% 68.0% 23.1% 21.9% 5.3% 5.2% 1.9% 1.5% 3.0% 3.4%

I believe everybody should

wear a mask in public to

minimize risk to others even

after restrictions are lifted.

47.5% 44.1% 25.5% 29.2% 12.8% 15.4% 9.6% 7.8% 4.6% 3.5%

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Building a Data-Driven World 20

Coronavirus Agree: N-size between 357 and 403 Do you agree or disagree with the following statement?

US Margin of Error = 1.8%, TX Margin of Error = 7.3%

Each of these options shown to a roughly 50% random subset of respondents

Strongly Agree Somewhat Agree Somewhat

Disagree

Strongly

Disagree I Don’t Know

Statements US TX US TX US TX US TX US TX

The danger or severity of

the outbreak has been over-

exaggerated.

16.2% 20.3% 22.3% 25.3% 18.0% 13.0% 36.9% 33.4% 6.6% 8.1%

The outbreak will continue

for at least another month. 58.0% 57.8% 24.4% 24.8% 6.6% 6.4% 4.5% 6.6% 6.5% 4.3%

If we don’t continue

practicing social/physical

distancing for the long term,

the COVID-19 outbreak will

get worse and come back.

49.5% 49.0% 28.3% 29.6% 9.7% 9.1% 5.1% 4.5% 7.4% 7.9%

It’s ok to ignore the

social/physical distancing

guidelines every once in a

while.

10.6% 9.8% 18.5% 23.8% 21.2% 19.5% 44.2% 44.3% 5.4% 2.6%

I can lower my risk of

catching COVID-19 through

the way I act.

55.9% 50.6% 28.2% 30.1% 6.3% 9.3% 4.0% 3.2% 5.6% 6.7%

Social/physical distancing

and shelter-in-place orders

have been successful in

slowing the spread of

COVID-19.

43.5% 43.0% 37.8% 36.4% 8.6% 11.2% 3.5% 5.1% 6.6% 4.2%

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Building a Data-Driven World 21

I want to get back to normal,

even if it means risking

another outbreak.

13.3% 12.4% 21.0% 22.7% 20.4% 24.1% 39.5% 32.5% 5.7% 8.2%

Social/physical distancing is

difficult, but it’s worth it. 54.9% 52.2% 26.8% 31.1% 8.8% 10.4% 5.4% 4.6% 4.1% 1.6%

I am likely to catch COVID-

19. 7.7% 6.1% 16.5% 16.5% 28.2% 29.4% 29.6% 33.5% 18.0% 14.6%

I’m worried that I might

spread COVID-19 to others,

even if I don’t have

symptoms myself.

27.1% 25.5% 32.2% 29.0% 16.7% 18.8% 15.9% 19.1% 8.2% 7.6%

I think I can make a

meaningful difference by

donating money or

volunteering my time right

now.

20.0% 17.4% 33.4% 34.0% 15.9% 16.8% 12.5% 14.8% 18.2% 17.0%

I feel confident that when I

donate money now, it is

being put to good use.

17.0% 22.8% 33.0% 27.3% 16.7% 15.9% 12.7% 14.7% 20.6% 19.3%

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Building a Data-Driven World 22

Coronavirus Contact Tracing Voluntary App: N = 760 Would you sign up for a phone app that would use Bluetooth technology in order to alert

you if someone you came into contact tested positive for COVID-19?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Contact Tracing Voluntary App US TX

Yes 41.4% 42.7%

No 37.4% 37.1%

I don't know 21.2% 20.2%

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Building a Data-Driven World 23

Coronavirus Contact Tracing Voluntary Share: N = 760 If you tested positive for COVID-19, would you share the personal contact information of

people you’ve been near, with local public health authorities, in order to let them know

that they’ve been exposed?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Contact Tracing Voluntary Share US TX

Yes 72.8% 73.0%

No 15.1% 15.9%

I don't know 12.0% 11.1%

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Building a Data-Driven World 24

Coronavirus Attitudes Government Priorities: N = 760 How much of a priority should it be to find solutions to each of the following issues?

US Margin of Error = 1.3%, TX Margin of Error = 5%

A Critical Priority A High Priority A Lower Priority Not A Priority At

All

Issue US TX US TX US TX US TX

Coronavirus (COVID-19) 59.1% 60.1% 27.0% 25.5% 9.7% 10.1% 4.2% 4.2%

The performance of the

stock market 22.5% 24.6% 40.6% 40.9% 28.6% 27.1% 8.3% 7.5%

Companies cutting jobs in

the US 43.8% 48.9% 42.4% 37.4% 9.9% 9.4% 3.9% 4.3%

Climate change 32.6% 29.0% 32.5% 31.5% 22.6% 26.7% 12.2% 12.7%

Diplomatic tension between

US and China 23.9% 24.8% 42.7% 44.6% 27.1% 24.7% 6.3% 5.9%

Extreme poverty in poor

countries 26.9% 28.0% 36.1% 36.0% 28.5% 28.5% 8.5% 7.5%

The health systems in Africa

coming under strain 21.6% 22.8% 35.4% 38.6% 31.4% 29.1% 11.6% 9.4%

The healthy systems in the

US coming under strain 46.7% 46.3% 40.6% 42.0% 9.2% 10.2% 3.5% 1.6%

Preventing future

pandemics 53.7% 51.0% 33.7% 34.2% 9.1% 12.2% 3.5% 2.7%

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Building a Data-Driven World 25

Coronavirus School Closures Policy: N = 760 Policymakers have proposed a number of possible policies to deal with COVID-related

school closures in the next school year. To what extent do you support or oppose each of

the following?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Strongly Support Support Oppose Strongly Oppose No Opinion

Policy US TX US TX US TX US TX US TX

Having all students repeat

their current grade next

year.

7.5% 6.5% 11.6% 14.0% 28.5% 25.9% 41.0% 44.6% 11.4% 9.0%

Promoting all students to

the next grade regardless of

their performance this year.

15.3% 20.2% 25.4% 25.9% 29.2% 26.9% 14.8% 15.3% 15.3% 11.7%

Determining students'

grade placement based on

their performance as of

March.

17.9% 20.4% 39.5% 43.5% 16.6% 12.4% 10.0% 10.8% 16.0% 13.0%

Providing summer school

for all students if it is safe to

do so.

22.8% 24.1% 36.4% 40.3% 16.5% 12.7% 11.8% 13.5% 12.5% 9.3%

Canceling all standardized

testing this year. 26.0% 31.5% 30.9% 31.9% 17.5% 12.9% 10.2% 10.5% 15.4% 13.2%

Canceling grades for the

remainder of the year. 17.5% 19.2% 27.6% 29.6% 24.6% 19.6% 13.0% 17.4% 17.1% 14.2%

Converting grades for the

remainder of the year to

Pass/Fail.

16.4% 16.1% 34.8% 35.6% 17.9% 15.2% 10.4% 12.8% 20.5% 20.3%

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Building a Data-Driven World 26

Coronavirus Recent News: N = 760 How much have you seen, read, or heard over the past week about the following issues?

US Margin of Error = 1.3%, TX Margin of Error = 5%

A Lot - I Can

Describe It In

Great Detail

Some - I Can

Describe It, But

Am Not Familiar

With The

Specifics

A Little - I Have

Heard About It,

But Can't Say

Much About It

Not At All - I

Have Not Heard

About This

Issue US TX US TX US TX US TX

Coronavirus (COVID-19) 58.1% 59.7% 27.2% 25.9% 9.8% 11.2% 4.9% 3.2%

The performance of the

stock market 23.3% 24.3% 35.6% 35.5% 28.0% 27.7% 13.1% 12.5%

Companies cutting jobs in

the US 32.5% 35.3% 37.7% 38.4% 21.0% 20.0% 8.8% 6.2%

Climate change 21.6% 20.0% 30.4% 27.4% 27.7% 33.5% 20.3% 19.0%

Diplomatic tension between

US and China 20.0% 22.4% 36.1% 35.3% 29.8% 28.6% 14.2% 13.8%

Extreme poverty in poor

countries 14.2% 16.0% 26.8% 26.1% 34.0% 35.5% 24.9% 22.4%

The health systems in Africa

coming under strain 10.9% 13.8% 20.2% 16.1% 29.3% 30.8% 39.6% 39.3%

The health systems in the

US coming under strain 30.3% 27.6% 38.0% 41.7% 20.8% 21.7% 10.9% 8.9%

The presidential election 32.7% 30.8% 35.4% 31.0% 22.0% 28.0% 9.9% 10.1%

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Building a Data-Driven World 27

Coronavirus Information Trust: N = 398 How much do you trust the following sources of information about the Coronavirus

(COVID-19)?

US Margin of Error = 1.8%, TX Margin of Error = 6.9%

Shown to random 50% subset of respondents

Strongly Trust Slightly Trust Slightly Distrust Strongly Distrust Have No Opinion

Source US TX US TX US TX US TX US TX

Local public health officials 29.5% 29.0% 40.2% 40.6% 14.4% 13.7% 7.3% 8.4% 8.6% 8.2%

Federal public health officials

(e.g. HHS, CDC) 33.9% 32.1% 34.9% 38.4% 14.2% 10.6% 8.6% 9.9% 8.3% 9.0%

The World Health

Organization (WHO) 30.3% 24.6% 31.0% 39.5% 14.8% 10.3% 15.1% 17.3% 8.8% 8.3%

People in your network

(family, friends, or

acquaintances)

25.6% 29.3% 42.4% 41.1% 14.4% 13.3% 6.6% 7.6% 11.0% 8.7%

Your physician 47.4% 44.4% 31.1% 30.8% 7.8% 8.8% 4.4% 4.7% 9.2% 11.2%

Social media (e.g. Facebook,

Twitter) 8.2% 9.9% 22.9% 24.9% 27.1% 26.3% 29.4% 29.9% 12.4% 8.9%

Cable news network (e.g. Fox

News, CNN, MSNBC) 18.1% 12.6% 34.5% 32.9% 21.1% 20.9% 16.8% 24.8% 9.4% 8.9%

Broadcast news (e.g. NBC,

CBS, ABC) 21.5% 24.0% 34.9% 37.7% 17.5% 14.0% 17.6% 16.2% 8.4% 8.1%

National newspapers 17.1% 16.4% 34.9% 30.5% 20.0% 23.2% 15.7% 17.9% 12.3% 11.9%

President Trump and Vice

President Pence 20.4% 19.2% 22.2% 28.8% 14.2% 10.9% 34.6% 31.6% 8.6% 9.5%

Radio broadcasts 12.3% 13.5% 36.8% 35.8% 22.4% 22.6% 11.6% 12.7% 17.0% 15.4%

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Building a Data-Driven World 28

Local newspapers 16.0% 16.9% 42.5% 35.4% 18.8% 20.6% 10.8% 11.8% 11.9% 15.4%

Church communications 17.5% 21.3% 30.3% 30.9% 17.1% 22.1% 14.6% 11.2% 20.5% 14.6%

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Building a Data-Driven World 29

Coronavirus Information Use: N = 398 Which of the following information sources have you used to learn about the Coronavirus

(COVID-19) in the past 7 days? Please select all that apply.

US Margin of Error = 1.8%, TX Margin of Error = 6.9%

Shown to same subset as Coronavirus Information Trust

Source US TX

Local public health officials 28.5% 28.1%

Federal public health

officials (e.g. HHS, CDC) 32.2% 30.5%

The World Health

Organization (WHO) 25.3% 25.5%

People in your network

(family, friends, or

acquaintances)

32.1% 35.2%

Your physician 16.9% 20.0%

Social media (e.g. Facebook,

Twitter) 32.5% 33.2%

Cable news networks (e.g.

Fox News, CNN, MSNBC) 42.0% 37.7%

Broadcast news (e.g. NBC,

CBS, ABC) 45.4% 44.8%

National newspapers 18.5% 19.5%

President Trump and Vice

President Pence 28.7% 28.5%

Radio broadcasts 15.9% 14.2%

Church communications 7.9% 7.0%

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Building a Data-Driven World 30

Local newspapers 24.8% 22.7%

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Building a Data-Driven World 31

Coronavirus Behaviors Addition: N = 760 Which of the following have you done in the last 7 days to keep yourself safe from

Coronavirus (COVID-19) in addition to what you normally do?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Behavior US TX

Washed your hands with

soap or used hand sanitizer

several times per day

73.7% 72.0%

Canceled or postponed

travel 30.2% 33.5%

Canceled or postponed

activities with other people 38.0% 39.8%

Worked or studied at home 32.9% 38.8%

Visited a doctor 10.9% 10.0%

Cancel or postponed a

doctor's appointment 20.6% 17.1%

Stockpiled food or water 23.7% 24.2%

Avoided public spaces,

gatherings, or crowds 65.3% 64.8%

Increased how often I clean

or disinfect things I might

touch, such as door knobs or

hard surfaces

49.8% 51.4%

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Building a Data-Driven World 32

Coronavirus Days Out Grocery: N = 760 Thinking about the last two weeks, how frequently have you left the house to shop for

groceries?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Days Out Grocery US TX

Multiple times a day 5.5% 7.8%

Once a day 6.7% 5.5%

A few times a week 26.2% 27.8%

Once a week 33.1% 33.5%

Once in the last two weeks 18.5% 16.8%

I have not left my home in at least two weeks 10.0% 8.5%

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Building a Data-Driven World 33

Coronavirus Days Out Takeout: N = 760 Thinking about the last two weeks, how frequently have you gone to a restaurant or cafe

to pick up a take-out order?

US Margin of Error = 1.3%, TX Margin of Error = 5%

Coronavirus Days Out Takeout US TX

Multiple times a day 3.7% 4.7%

Once a day 5.1% 6.4%

A few times a week 18.5% 18.7%

Once a week 20.8% 19.3%

Once in the last two weeks 23.8% 28.6%

I have not left my home in at least two weeks 28.1% 22.3%

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Building a Data-Driven World 34

Coronavirus HH Division: N = 528 total, 278 parents Thinking about your own life, specifically the ways in which you and your spouse or

partner divide up roles at home. Since the start of the Coronavirus (COVID-19)

pandemic, who does more of each of the following?

Full margin of error: 6% , Parent margin of error: 8.3%

Shown to random 50% of respondents where [Marriage Status] == 'Married', also [Children 18 or

less] == Yes for options with children

I Do More Of

This

We Share This

Equally

My

Spouse/Partner

Does More Of

This

Task Before

Covid

Since

Covid

Before

Covid

Since

Covid

Before

Covid

Since

Covid

Educating children at home

(parents only) 11.1% 15.3% 11.8% 11.0% 11.2% 7.7%

Caring for children (parents

only) 14.1% 12.1% 11.2% 17.4% 8.7% 4.5%

Playing with/entertaining

children (parents only) 12.0% 11.4% 15.5% 19.3% 6.5% 3.2%

Cooking 14.1% 13.2% 9.8% 11.1% 9.5% 9.1%

Cleaning 14.9% 14.7% 12.5% 14.8% 6.0% 3.9%

Grocery shopping 17.4% 16.8% 11.9% 10.5% 4.2% 6.1%

Managing household

finances 17.6% 15.0% 11.5% 13.5% 4.4% 5.0%

Working to support the

family 9.0% 10.4% 17.4% 16.5% 7.0% 6.5%

Making health decisions for

the family 13.4% 13.2% 17.3% 17.7% 2.7% 2.5%

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Building a Data-Driven World 35

Coronavirus Behaviors Coping: N = 760 Out of the past seven days, what is your best estimate of the number of days that you did

each of the following activities?

US Margin of Error = 1.3%, TX Margin of Error = 5%

No Days 1 Day 2 To 3 Days 4 To 5 Days 6 To 7 Days

Activity US TX US TX US TX US TX US TX

Drank alcohol 53.7% 53.3% 13.4% 14.8% 15.9% 14.0% 8.5% 9.4% 8.5% 8.6%

Used marijuana 77.7% 82.1% 5.6% 7.6% 5.3% 3.1% 3.4% 2.2% 7.9% 5.0%

Used non-marijuana drugs 83.8% 82.4% 4.9% 6.6% 4.7% 5.3% 2.7% 2.1% 3.9% 3.6%

Meditated 63.6% 59.7% 8.3% 10.5% 11.0% 11.9% 6.8% 8.1% 10.3% 9.8%

Exercised 23.8% 24.2% 11.2% 14.4% 23.3% 21.4% 20.8% 20.2% 21.0% 19.8%

Made time to relax 12.5% 11.1% 8.4% 9.6% 17.1% 19.2% 17.0% 15.5% 45.0% 44.6%

Connected with family or

friends 13.8% 12.3% 10.1% 11.6% 21.1% 23.9% 18.4% 18.9% 36.6% 33.3%

Spent time on social media 21.7% 18.4% 8.8% 11.0% 12.3% 12.4% 10.9% 11.6% 46.4% 46.6%

Smoked cigarettes 72.4% 73.4% 5.2% 7.0% 5.0% 6.8% 3.4% 3.3% 14.0% 9.5%

Used e-cigarettes or vaped 81.4% 81.1% 4.9% 6.6% 5.5% 6.2% 3.0% 2.0% 5.1% 4.2%

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Building a Data-Driven World 36

Average Coronavirus Behaviors Coping: N = 760 Out of the past seven days, what is your best estimate of the number of days that you did

each of the following activities?

Activity Avg Days

Drank alcohol 1.47

Used marijuana 0.71

Used non-marijuana drugs 0.55

Meditated 1.59

Exercised 3.09

Made time to relax 4.42

Connected with family or friends 4.00

Spent time on social media 4.32

Smoked cigarettes 1.15

Used e-cigarettes or vaped 0.68

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Building a Data-Driven World 37

Coronavirus Behaviors Coping Alcohol Qty: N = 356 In the past seven days, how many alcoholic drinks did you have on a typical day when

you drank alcohol?

US Margin of Error = 1.9%, TX Margin of Error = 7.3%

Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0

Coronavirus Behaviors Coping Alcohol Qty US TX

1 32.2% 29.1%

2 27.4% 21.9%

3 15.1% 17.1%

4 to 5 13.4% 16.5%

6 to 8 7.3% 9.9%

9 or more 4.5% 5.5%

Mean drinks per day = 3.06

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Building a Data-Driven World 38

Coronavirus Behaviors Coping Alcohol Binge Male: N = 192 In the past seven days, on how many days did you drink 5 or more alcoholic beverages

within a couple of hours?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0 and [Gender] == Male

Coronavirus Behaviors Coping Alcohol Binge Male US TX

No days 45.3% 39.7%

1 day 13.6% 17.3%

2 to 3 days 20.7% 27.1%

4 to 5 days 11.9% 7.2%

6 to 7 days 8.4% 8.7%

Mean days of binge consumption per week = 1.76

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Building a Data-Driven World 39

Coronavirus Behaviors Coping Alcohol Binge Female: N = 164 In the past seven days, on how many days did you drink 4 or more alcoholic beverages

within a couple of hours?

US Margin of Error = 2.6%, TX Margin of Error = 10.8%

Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0 and [Gender] == Female

Coronavirus Behaviors Coping Alcohol Binge Female US TX

No days 63.8% 58.3%

1 day 12.4% 20.9%

2 to 3 days 13.4% 4.6%

4 to 5 days 7.0% 12.8%

6 to 7 days 3.5% 3.5%

Mean days of binge consumption per week = 1.16

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Building a Data-Driven World 40

Postsecondary Education: N = 760 Are you currently enrolled in a postsecondary education program at a college, university,

or trade school?

US Margin of Error = 1.2%, TX Margin of Error = 5%

Postsecondary Education US TX

Yes 16.4% 15.6%

No 83.6% 84.4%

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Building a Data-Driven World 41

Postsecondary Education Change: N = 143 Have your plans to continue or complete your postsecondary program changed because

of the Coronavirus (COVID-19) epidemic or school closures?

US Margin of Error = 2.7%, TX Margin of Error = 11.5%

Displayed if: [Postsecondary Education] == Yes

Postsecondary Education Change US TX

Yes 67.8% 76.2%

No 32.2% 23.8%

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Building a Data-Driven World 42

Postsecondary Education Change How: N = 102 How have your plans to continue or complete your postsecondary program changed?

Select all that apply.

US Margin of Error = 3.3%, TX Margin of Error = 13.7%

Displayed if: [Postsecondary Education Change] == Yes

Change US TX

Transferring to another

school 17.3% 20.4%

Postponing enrollment 21.5% 39.5%

Taking a semester or year

off 27.6% 27.1%

Changing plans for the

current semester (e.g. work

study, study abroad)

29.9% 25.7%

Changing plans for the next

semester (e.g. work study,

study abroad)

30.3% 28.1%

Other: 7.5% 8.7%

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Building a Data-Driven World 43

Coronavirus Donate Volunteer: N = 760 Have you donated or volunteered in response to the Coronavirus pandemic? Select all

that apply.

US Margin of Error = 1.3%, TX Margin of Error = 5%

Action US TX

Donated 23.6% 21.9%

Volunteered 11.7% 11.5%

Neither donated nor

volunteered 67.3% 69.7%

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Building a Data-Driven World 44

Coronavirus Donate Type: N = 175 What types of funds have you donated to? Select all that apply.

US Margin of Error = 2.6%, TX Margin of Error = 10.4%

Displayed if: [Coronavirus Donate Volunteer] == Donated

Action US TX

Local business or service

worker support 17.2% 16.5%

Hunger relief 35.7% 50.3%

Education 13.9% 17.6%

Health care or medical

services 25.0% 21.8%

First responder and

healthcare worker support 23.0% 20.4%

Neighborhood or

community funds 25.3% 23.6%

Direct funding of individuals

in need 18.6% 17.2%

I have donated more to

organizations I already

support

27.6% 23.2%

Other 5.1% 4.6%

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Building a Data-Driven World 45

Coronavirus Donate Amt: N = 154 In total, how much have you donated in response to the Coronavirus pandemic?

US Margin of Error = 2.8%, TX Margin of Error = 11.1%

Displayed if: [Coronavirus Donate Volunteer] == Donated

Coronavirus Donate Amt US TX

$1-$50 37.9% 34.7%

$51-$100 21.5% 28.0%

$101-$200 12.5% 9.2%

$201-$500 16.1% 20.3%

$500-$2000 12.1% 7.8%

Mean donation amount = $268.99

Self-reported donation amounts over $2000 were removed to calculate the average above.

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Building a Data-Driven World 46

Coronavirus Volunteer Type: N = 106 What types of volunteer work have you done? Select all that apply.

US Margin of Error = 3.7%, TX Margin of Error = 13.4%

Displayed if: [Coronavirus Donate Volunteer] == Volunteered

Action US TX

Making face masks 33.5% 27.0%

Collecting medical supplies 23.6% 29.7%

Food or grocery supply and

delivery 38.1% 46.5%

Volunteering at a homeless

shelter 25.7% 34.7%

Assistance for elderly or at-

risk individuals 25.6% 29.7%

Other 9.6% 5.4%

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Building a Data-Driven World 47

Coronavirus Donate Volunteer Barriers: N = 503 You indicated that you have not donated or volunteered in response to the Coronavirus

pandemic.For what reasons have you not donated or volunteered? Select all that apply.

US Margin of Error = 1.6%, TX Margin of Error = 6.2%

Displayed if: [Coronavirus Donate Volunteer] == Neither donated nor volunteered

Barriers US TX

I don’t have time 19.2% 19.4%

I don’t have money 45.8% 45.2%

I don’t know where to start 17.8% 22.6%

I don’t think I can make a

real difference 11.2% 13.5%

I haven’t been asked to

donate or volunteer 27.9% 24.2%

Other: 12.0% 12.4%

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Building a Data-Driven World 48

Coronavirus Likelihood Jobloss: N = 484 The Coronavirus (COVID-19) may cause economic challenges for some people regardless

of whether they are actually infected. How likely do you think it is that you will lose your

job because of the Coronavirus within the next three months?

US Margin of Error = 1.7%, TX Margin of Error = 6.3%

Displayed if: [Employment] == 'Full time' OR 'Part time'

Coronavirus Likelihood Jobloss US TX

Very likely 16.7% 16.4%

Somewhat likely 17.7% 18.5%

Somewhat unlikely 16.0% 18.2%

Very unlikely 25.8% 24.5%

Not sure 23.8% 22.4%

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Building a Data-Driven World 49

Coronavirus Children K12: N = 298 Do you have any children at home who are currently enrolled in primary or secondary

school (K-12)?

US Margin of Error = 2.2%, TX Margin of Error = 8%

Displayed if: [Children 18 or less] == Yes

Coronavirus Children K12 US TX

Yes 74.0% 73.2%

No 26.0% 26.8%

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Building a Data-Driven World 50

Coronavirus Children K12 Closure: N = 222 Have any of your children in K-12 had school suspended or canceled because of

Coronavirus (COVID-19)?

US Margin of Error = 2.6%, TX Margin of Error = 9.3%

Displayed if: [Children K-12] == Yes

Coronavirus Children K12 Closure US TX

Yes 87.2% 82.8%

No 12.8% 17.2%

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Building a Data-Driven World 51

Coronavirus Children K12 Homework: N = 191 Are your children who were affected by school closures doing educational activities at

home?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Children K-12 Closure] == Yes

Coronavirus Children K12 Homework US TX

Yes 93.0% 95.0%

No 7.0% 5.0%

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Building a Data-Driven World 52

Children K12 Homework Workload: N = 180 How would you describe the amount of work that teachers or schools are requiring your

children to complete at home?

US Margin of Error = 2.8%, TX Margin of Error = 10.3%

Children K12 Homework Workload US TX

Too much work 30.2% 29.7%

The right amount of work 56.4% 58.6%

Not enough work 13.3% 11.7%

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Building a Data-Driven World 53

Children K12 Homework Workload Expectation: N = 180 How would you describe the expectations your child(ren)’s teachers or school have for

the work they are completing at home?

US Margin of Error = 2.8%, TX Margin of Error = 10.3%

Children K12 Homework Workload Expectation US TX

Expecting too much 30.7% 28.2%

Expecting the right amount 59.8% 66.2%

Not expecting enough 9.5% 5.7%

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Building a Data-Driven World 54

Coronavirus Children K12 Homework Plan: N = 180 Who typically plans the educational activities that your children complete at home

during closure?

US Margin of Error = 2.8%, TX Margin of Error = 10.3%

Displayed if: [Children K-12 Homework] == Yes

Coronavirus Children K12 Homework Plan US TX

The school or teachers 53.1% 55.5%

Parent or guardian 30.1% 28.1%

The children themselves 10.6% 11.8%

Other household members 5.4% 3.9%

None of the above 0.9% 0.7%

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Building a Data-Driven World 55

Coronavirus Children K12 Sources: N = 222 What sources of information do you rely on to support your children's learning? Select all

that apply.

US Margin of Error = 2.6%, TX Margin of Error = 9.3%

Displayed if: [Children K-12] == Yes

Source US TX

My children's school or

teachers 70.0% 70.1%

Other parents 13.3% 13.2%

State education officials 24.3% 25.1%

Education researchers 28.9% 29.9%

The media 17.1% 14.4%

Social media, blogs, and

forums 21.3% 25.0%

None of the above 4.4% 6.5%

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Building a Data-Driven World 56

Coronavirus Children K12 Frequency: N = 222 How frequently do you access information to support your children's learning?

US Margin of Error = 2.6%, TX Margin of Error = 9.3%

Displayed if: [Children K-12] == Yes

Coronavirus Children K12 Frequency US TX

Multiple times a day 23.5% 20.5%

Daily 36.3% 45.9%

Several times per week 20.6% 18.6%

Weekly 12.1% 8.2%

Monthly 2.6% 1.8%

Less than monthly 1.7% 0.2%

Never 3.2% 4.8%

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Building a Data-Driven World 57

Coronavirus Children K12 Internet: N = 191 Do your children have access to the internet during the day to support learning?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Children K-12 Closure] == Yes

Coronavirus Children K12 Internet US TX

Yes 95.9% 98.7%

No 4.1% 1.3%

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Building a Data-Driven World 58

Coronavirus Children K12 Internet Type: N = 186 What type(s) of internet do your children have access to? Select all that apply.

US Margin of Error = 2.8%, TX Margin of Error = 10.1%

Displayed if: [Children K-12 Internet] == Yes

Type US TX

Dedicated household

internet or wi-fi 82.3% 84.7%

Dedicated cellular hotspot 16.0% 16.3%

Hotspot through someone

else's mobile phone 13.3% 11.6%

Other 1.2% 0.2%

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Building a Data-Driven World 59

Coronavirus Children K12 Internet Device: N = 186 What type(s) of devices do your children use to access the internet for learning? Select all

that apply.

US Margin of Error = 2.8%, TX Margin of Error = 10.1%

Type US TX

A laptop or desktop

computer 72.1% 71.8%

A tablet or iPad 44.2% 43.8%

A smartphone 42.3% 39.8%

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Building a Data-Driven World 60

Coronavirus Children K12 Internet Device Dedicated: N = 186 Does each child in your home have access to a dedicated internet-enabled device to

complete school work at home (i.e. not shared with another child)?

US Margin of Error = 2.8%, TX Margin of Error = 10.1%

Displayed if: [Children K-12 Internet] == Yes

Coronavirus Children K12 Internet Device Dedicated US TX

Yes 93.4% 93.1%

No 6.6% 6.9%

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Building a Data-Driven World 61

Coronavirus Children K12 Iep Iep: N = 191 Do any of your children have an IEP (Individualized Education Program) Plan?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Children K-12 Closure] == Yes

Coronavirus Children K12 Iep Iep US TX

Yes 45.9% 51.3%

No 54.1% 48.7%

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Building a Data-Driven World 62

Coronavirus Children K12 Iep 504: N = 191 Do any of your children have a 504 Plan?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Children K-12 Closure] == Yes

Coronavirus Children K12 Iep 504 US TX

Yes 30.3% 30.8%

No 69.7% 69.2%

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Building a Data-Driven World 63

Coronavirus Children K12 Iep How: N = 109 How are they receiving specialized instruction or accommodations mandated by the

Individualized Education Plan? Select all that apply.

US Margin of Error = 3.8%, TX Margin of Error = 13.2%

Displayed if: [Children K-12 IEP or 504] == Yes

Instruction Or

Accommodation US TX

Individual or Small Group

Instruction 42.9% 45.3%

Physical Materials

Delivered 34.4% 36.3%

Guidance on Accessibility

Features 44.7% 47.1%

Other Specialized

Instruction 17.7% 12.1%

No Specialized Instruction 10.5% 6.6%

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Building a Data-Driven World 64

Coronavirus Children K12 Iep Satisfaction: N = 109 How satisfied are you with the specialized instruction or accommodations your children

have received for education activities at home during school closure?

US Margin of Error = 3.8%, TX Margin of Error = 13.2%

Displayed if: [Children K-12 IEP or 504] == Yes

Coronavirus Children K12 Iep Satisfaction US TX

Very satisfied 53.9% 59.4%

Somewhat satisfied 34.6% 32.1%

Somewhat unsatisfied 6.5% 6.0%

Very unsatisfied 5.0% 2.4%

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Building a Data-Driven World 65

Coronavirus Children K12 Parent Beliefs: N = 191 Do you agree or disagree with the following statements?

US Margin of Error = 2.7%, TX Margin of Error = 10%

Displayed if: [Children K-12 Closure] == Yes

Strongly Agree Agree Disagree Strongly

Disagree

Statement US TX US TX US TX US TX

School closures have made

it difficult for me to work or

do other household tasks.

29.1% 32.9% 35.3% 31.3% 25.0% 24.8% 10.5% 11.0%

I am satisfied with the

communication to support

learning from

child's/children's school(s).

38.6% 44.5% 46.4% 43.1% 11.0% 10.6% 4.1% 1.9%

My child/children will be

prepared for school in the

next school year.

37.7% 45.0% 45.3% 35.1% 13.7% 18.8% 3.4% 1.2%

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Building a Data-Driven World 66

Coronavirus Children High School: N = 222 Do you have any children at home who are currently enrolled in high school?

US Margin of Error = 2.2%, TX Margin of Error = 9.3%

Displayed if: [Children K-12] == Yes

Coronavirus Children High School US TX

Yes 52.3% 50.0%

No 47.7% 50.0%

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Building a Data-Driven World 67

Coronavirus Children High School Postsecondary: N = 114 What are your high school child(ren)'s current plans for after high school? Select all that

apply.

US Margin of Error = 3.1%, TX Margin of Error = 12.9%

Displayed if: [Children High School] == Yes

Option US TX

Unknown 14.8% 14.0%

Military 8.5% 6.0%

Employment 18.2% 14.9%

Technical training 14.5% 13.5%

Community college 19.0% 23.8%

Four-year college 44.9% 49.3%

Other 4.7% 1.6%

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Building a Data-Driven World 68

Coronavirus Children High School Postsecondary Change: N = 114 Have your high school child(ren)'s plans for after high school changed because of the

Coronavirus (COVID-19) epidemic or school closures?

US Margin of Error = 3.1%, TX Margin of Error = 12.9%

Displayed if: [Children High School] == Yes

Coronavirus Children High School Postsecondary Change US TX

Yes 44.9% 44.9%

No 55.1% 55.1%

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Building a Data-Driven World 69

Coronavirus Children High School Postsecondary Change How: N = 56 How have your high school child(ren)'s plans changed? Select all that apply.

US Margin of Error = 4.5%, TX Margin of Error = 18.5%

Displayed if: [Children Postsecondary Change] == Yes

Description US TX

Switched to an option closer

to home 31.8% 32.7%

Switched to a less expensive

option 30.6% 30.6%

Postponed plans 47.3% 58.5%

Other 3.6% 1.3%

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Building a Data-Driven World 70

Coronavirus Children Impact Parent Concern: N = 298 As a parent, are you more or less concerned about your child(ren)'s development in the

following areas as a result of Coronavirus (COVID-19) than you were before?

US Margin of Error = 2.2%, TX Margin of Error = 8%

Much More

Concerned

A Little More

Concerned

Neither More

Nor Less

Concerned Than

Before

A Little Less

Concerned

Much Less

Concerned

Area US TX US TX US TX US TX US TX

Social 18.6% 22.6% 26.1% 23.4% 30.4% 36.6% 12.8% 8.8% 12.2% 8.6%

Academic 21.8% 24.6% 25.8% 29.0% 27.4% 26.3% 13.2% 10.6% 11.7% 9.5%